Vulnerabilities of Internet of Things, for Healthcare Devices and Applications

Abstract

As the Internet of Things (IoT) is progressively integrated into people’s life, the security aspect of Healthcare applications is drastically becoming a major concern for the research community. The IoT technology comes with many vulnerabilities, which can threaten the personal and public safety. Many new technologies are being introduced as solutions to IoT issues. Three of the most promising are Machine learning, Deep Learning and Blockchain. However, these solutions are not impeccable. In this paper, various IoT-based hardware implementations for security in Healthcare applications are demonstrated. Afterwards, the major vulnerabilities as well as threats and few common attacks of the utilized IoT components in Healthcare are discussed; that includes, the challenges and usual attack methods of the mentioned three security techniques (Machine learning, Deep Learning and Blockchain). Finally, efficient and flexible solutions for Healthcare, are presented.